Cloud-side-end collaborative meteorological intelligent early warning system

Abstract

The invention discloses a cloud-side-end collaborative meteorological intelligent early warning system. The system comprises a cloud end for large-area meteorological early warning, an edge end for small-area meteorological early warning and a terminal for collection and result display. The cloud end performs large-area meteorological early warning analysis and meteorological intelligent early warning model training on meteorological data acquired from the terminal, and issues the meteorological data to the edge end; the edge end obtains corresponding required data from each terminal accordingto the meteorological intelligent early warning model obtained from the cloud end, inputs the data into the meteorological intelligent early warning model and performs model calculation to obtain meteorological early warning analysis of the small area, analyzes the comprehensive meteorological early warning information of the large area and the small area in combination with the characteristics of the area where the edge end is located, and uploads the small-area and comprehensive meteorological early warning information to the cloud end for large-area meteorological early warning for storage, and issues the comprehensive meteorological early warning information to the terminal for collection and result display for early warning display. The system is high in meteorological early warningprecision and high in speed.

Description

technical field [0001] The invention relates to the technical fields of cloud computing and edge computing, in particular to an intelligent meteorological early warning system with cloud-edge-end collaboration. Background technique [0002] With the development of computer technology, cloud computing was proposed by Google in 2007 and developed rapidly in the following years. Cloud computing is a brand-new resource application mode, which forms a configurable computing resource pool with a large number of hardware resources, which has powerful computing and storage capabilities, which also makes cloud computing reduce the Internet's consumption of device resources and improve The utilization rate of equipment; the cost of information maintenance and storage is reduced, and computing resources can be allocated flexibly. However, cloud computing also has disadvantages: (1) It requires a persistent and stable network connection, and there is a large network delay in areas far ...

AI Technical Summary

Problems solved by technology

However, cloud computing also has shortcomings: (1) It requires a persistent and stable network connection, and there is a large network delay in areas far from the cloud computing center; (2) Data security cannot be guaranteed; And the control flexibility of technology is reduced

Therefore, the processing and modeling of the above data only in the cloud may have the following problems: 1. The poor network communication environment leads to high delay in the return of results; The results cannot effectively display the meteorological or geological characteristics of each region

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